A5068582136- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Computational Physics and Python Applications
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- Scientific Computing and Data Management
- Medical Imaging Techniques and Applications
- Particle Accelerators and Free-Electron Lasers
- advanced mathematical theories
- Access Control and Trust
- Superconducting Materials and Applications
- Diverse academic and cultural studies
- Muon and positron interactions and applications
- Atomic and Subatomic Physics Research
- Historical and Environmental Studies
- Algorithms and Data Compression
- Distributed systems and fault tolerance
European Organization for Nuclear Research
2016-2025
Istanbul University
2023-2024
Institute for High Energy Physics
2023-2024
Institute of Science and Technology
2023-2024
A. Alikhanyan National Laboratory
2024
Institute of High Energy Physics
2024
SR Research (Canada)
2024
Federación Española de Enfermedades Raras
2024
Atlas Scientific (United States)
2024
The University of Adelaide
2014-2023
The ATLAS detector as installed in its experimental cavern at point 1 CERN is described this paper. A brief overview of the expected performance when Large Hadron Collider begins operation also presented.
During 2006 and the first half of 2007, installation, integration commissioning trigger data acquisition (TDAQ) equipment in ATLAS experimental area have progressed. There been a series technical runs using final components system already installed area. Various tests run including ones where level 1 preselected simulated proton-proton events processed loop mode through dataflow chains. The included readout buffers containing events, event building, 2 filter algorithms. scalability with...
Anomaly detection in distributed systems such as High-Performance Computing (HPC) clusters is vital for early fault detection, performance optimisation, security monitoring, reliability general but also operational insights. It enables proactive measures to address issues, ensuring system reliability, resource efficiency, and protection against potential threats. Deep Neural Networks have seen successful use detecting long-term anomalies multidimensional data, originating instance from...
The Trigger and Data Acquisition system of the ATLAS [1] experiment at Large Hadron Collider [2] CERN is composed a large number distributed hardware software components which provide data-taking functionality overall system. During data-taking, huge amounts operational data are created in order to constantly monitor Persistent Back-End for Information System TDAQ (P-BEAST) based on custom-built time-series database. It archives any monitoring published online, resulting about 18 TB highly...
The ATLAS experiment at the Large Hadron Collider CERN relies on a complex and highly distributed Trigger Data Acquisition (TDAQ) system to gather select particle collision data obtained unprecedented energy rates. Run Control (RC) is component steering acquisition by starting stopping processes carrying all data-taking elements through well-defined states in coherent way. Taking into account lessons learnt during LHC's 1, RC has been completely re-designed re-implemented LHC Long Shutdown 1...
The ATLAS experiment operates with a significant number of hardware and software resources. Their protection against misuse is an essential task to ensure safe optimal operation. To achieve this goal, the Role Based Access Control (RBAC) model has been chosen for its scalability, flexibility, ease administration usability from lowest operating system level highest application level. This paper presents overall design RBAC implementation in enforcement solutions different areas such as...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> During 2006 and spring 2007, integration commissioning of trigger data acquisition (TDAQ) equipment in the ATLAS experimental area has progressed. Much work focused on a final prototype setup consisting around eighty computers representing subset full TDAQ system. There have been series technical runs using this setup. Various tests run including those where 6 k Level-1 preselected simulated...
The complexity of the ATLAS experiment motivated deployment an integrated Access Control System in order to guarantee safe and optimal access for a large number users various software hardware resources. Such system was foreseen since design infrastructure is now central operations model. In cope with ever growing needs restricting all resources used within experiment, Roles Based (RBAC) previously developed has been extended improved. paper starts short presentation RBAC design,...
The Trigger and Data Acquisition (TDAQ) system of the ATLAS experiment is a very complex distributed computing system, composed more than 20000 applications running on 2000 computers. TDAQ Controls has to guarantee smooth synchronous operations all components provide means minimize downtime caused by runtime failures. During data taking runs, streams information messages sent or published are main sources knowledge about correctness operations. huge flow operational monitoring produced...
Abstract The Trigger and Data Acquisition system of the ATLAS experiment at Large Hadron Collider CERN is composed a large number distributed hardware software components which provide data-taking functionality overall system. During data-taking, huge amounts operational data are created in order to constantly monitor Persistent Back-End for Information System TDAQ (P-BEAST) based on custom-built timeseries database. It used archive retrieve any monitoring applications requesting it. P-BEAST...
The ATLAS Trigger and Data Acquisition (TDAQ) is a large, distributed system composed of several thousands interconnected computers tens software processes (applications). Applications produce large amount operational messages at the order 104 per second, which need to be reliably stored delivered TDAQ operators in quasi real-time manner, also available for post-mortem analysis by experts.
ATLAS is one of the two general-purpose experiments being built for Large Hadron Collider at CERN. Its muon spectrometer consists very high-precision chambers made drift tubes. Up to now, more than 5000 monitored tubes (MDTs) have been constructed and tested University Calabria, Italy, barrel system detector. This paper reports critical MDT assembly techniques in detail, including automatic electronics data acquisition system. The extensive tests performed on individual first results...
During 2006 and spring 2007, integration commissioning of trigger data acquisition (TDAQ) equipment in the ATLAS experimental area has progressed. Much work focused on a final prototype setup consisting around eighty computers representing subset full TDAQ system. There have been series technical runs using this setup. Various tests run including ones where 6k Level-1 pre-selected simulated proton-proton events processed loop mode through dataflow chains. The system included readout buffers...
The Trigger and Data Acquisition (TDAQ) system of the ATLAS detector at Large Hadron Collider CERN is composed a large number distributed hardware software components (about 3000 computers more than 25000 applications) which, in coordinated manner, provide data-taking functionality overall system. During data taking runs, huge flow operational produced order to constantly monitor allow proper detection anomalies or misbehaviours. In trigger acquisition system, are archived made available...
The ATLAS experiment under construction at CERN is due to begin operation the end of 2007. detector will record results proton-proton collisions a center-of-mass energy 14 TeV. trigger three-tier system designed identify in real-time potentially interesting events that are then saved for detailed offline analysis. select approximately 200 Hz out 40 MHz bunch-crossing rate (with 109 interactions per second nominal luminosity).
This paper describes the process manager in ATLAS DAQ system. The purpose of is to perform basic control on behalf software components It able create, destroy and monitor status (e.g., running, exited, killed) workstations front-end processors. Section I gives a brief overview functionalities. II focuses requirements system has fulfil be fully integrated III shows how are met by current implementation. communication schema between different parts system, procedure launch possible states...
The ATLAS experiment at the Large Hadron Collider CERN relies on a complex and highly distributed Trigger Data Acquisition system to gather select particle collision data unprecedented energy rates. main interaction point between operator in charge of taking (TDAQ) is Integrated Graphical User Interface (IGUI). tasks IGUI can be coarsely grouped into three categories: status monitoring, control configuration. Status monitoring implies presentation global TDAQ run, as well visualization...